The function summary_glu is a wrapper for the base function summary(). Output is a tibble object with subject id and the summary value: Minimum, 1st Quantile, Median, Mean, 3rd Quantile and Max.
Arguments
- data
DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.
Value
If a data.frame object is passed, then a tibble object with a column for subject id and then a column for each summary value is returned. If a vector of glucose values is passed, then a tibble object without the subject id is returned. as.numeric() can be wrapped around the latter to output a numeric vector with values in order of Min, 1st Quantile, Median, Mean, 3rd Quantile and Max.
Details
A tibble object with 1 row for each subject, a column for subject id and a column for each of summary values is returned. NA glucose values are omitted from the calculation of the summary values.
Examples
data(example_data_1_subject)
summary_glu(example_data_1_subject)
#> # A tibble: 1 × 7
#> # Groups: id [1]
#> id Min. `1st Qu.` Median Mean `3rd Qu.` Max.
#> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Subject 1 66 99 112 124. 143 276
data(example_data_5_subject)
summary_glu(example_data_5_subject)
#> # A tibble: 5 × 7
#> # Groups: id [5]
#> id Min. `1st Qu.` Median Mean `3rd Qu.` Max.
#> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Subject 1 66 99 112 124. 143 276
#> 2 Subject 2 90 179 211 218. 253 400
#> 3 Subject 3 60 125 140 154. 173 304
#> 4 Subject 4 50 109 126 130. 149 232
#> 5 Subject 5 66 134 164 175. 211 398